Here are some steps I followed recently but for running the webgpu conformance tests on Windows:
$ vpython3 tools/mb/mb.py isolate out/Release telemetry_gpu_integration_test
$ tools\luci-go\isolate archive -cas-instance chromium-swarm -i out\Release\telemetry_gpu_integration_test.isolate
(this outputs a digest hash that you specify via -digest to the next command)
$ tools\luci-go\swarming trigger -S
https://chromium-swarm.appspot.com -dimension pool="chromium.tests.gpu" -dimension os="Windows-10-18363" -dimension cpu="x86-64" -dimension gpu="10de:2184-27.21.14.5638" -digest 1fcb46d987e71caed70dcbf09d21b0d2503c9c7aeff918196978754405e9ef62/734 -- vpython3 testing\test_env.py testing\scripts\run_gpu_integration_test_as_googletest.py content\test\gpu\run_gpu_integration_test.py --isolated-script-test-output=${ISOLATED_OUTDIR}/output.json webgpu_cts --browser=release --passthrough -v --show-stdout --extra-browser-args="--enable-logging=stderr --js-flags=--expose-gc --force_high_performance_gpu --no-sandbox" --test-filter "webgpu:api,validation,queue,copyToTexture,CopyExternalImageToTexture:source_image,crossOrigin:sourceImage=\"canvas\";isOriginClean=true"
The important point is that you can't use mb.py or run-swarmed.py since they only work for simple gtest harnesses, and you need to specify "--isolated-script-test-output=${ISOLATED_OUTDIR}/output.json" so test artifacts are uploaded to cloud storage.